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High proportion of variable renewable energy has caused increasing peak shaving pressure and more flexibility demands in 100% renewable energy systems. Concentrating solar power (CSP) and energy storage system (ESS) are competitive flexibility resources to solve the problems. This paper constructs an optimal configuration model for CSP and ESS in multi-energy power systems. The model considers the investment cost and operation cost in typical scenarios. Characteristics of different power sources are modeled and linearization method is applied to obtain a mixed integer linear programming (MILP) formulation. A case study based on real data shows that power systems benefit from the complementarity and coordination of CSP and ESS with other power sources. The configuration results are significantly affected by the penetration rate of variable renewable energy (VRE).